2 papers
cs.LG2025
Tensor-Fused Multi-View Graph Contrastive Learning
Yujia Wu, Junyi Mo, Elynn Chen +1
Graph contrastive learning (GCL) has emerged as a promising approach to enhance graph neural networks' (GNNs) ability to learn rich representations from unlabeled graph-structured…
cs.LG2025
Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation
Tao Wen, Elynn Chen, Yuzhou Chen +1
Graph Neural Networks (GNNs) have recently become the predominant tools for studying graph data. Despite state-of-the-art performance on graph classification tasks, GNNs are overwh…